Analisis Kemiskinan Menggunakan Model Panel Spasial Statik

Jajang, Jajang; Saefuddin, Asep; Mangku, I Wayan; Siregar, Hermanto

doi:10.29313/mimbar.v29i2.396

Cited by 7 publications

(5 citation statements)

References 9 publications

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“…The debate between geographical and institutional approaches has also been widely used in analyzing poverty in various countries, including Indonesia. Several studies have found that geographical factors such as regional location, topography, rural area conditions or the distance between villages and hospitals are factors that affect poverty in the West Java Province (Djamaluddin, 2014); in Central Java Province (Jajang, et al, 2013); Bengkulu Province (Harmes, 2017) and in Riau Rahayu Province (2019). Meanwhile, other studies have found that institutional factors are an important element in explaining the occurrence of poverty.…”

Section: Literature Reviewmentioning

confidence: 99%

Influence of Geographical Factors and Iinfrastructure on Poverty in the Bodebek Region in West Java Province

2022

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This study intends to examine the influence of geographical and infrastructure factors on poverty in the Bogor, Depok and Bekasi (Bodebek) areas in West Java Province. To achieve the objectives of the penelitian, a regression method is used using the poverty variable as the dependent variable. While the dependent variables are divided into 4 (four) groups, which are divided into groups of variables of geography, infrastructure, population economy, and macroeconomic variables. The data used in this study came from the raw data of the Village Potential Data Collection (Podes) of West Java Province released by the Central Statistics Agency. The data period used is Podes data in 2011, 2014 and 2018. The scope of the study was at the village / kelurahan level with a household-level analysis unit. The observations cover 5 buffer areas of the State Capital in West Java Province, including Bekasi Regency, Bekasi City, Bogor Regency, Bogor City and Depok City. The total samples used from the six regions were 802 villages and sub-districts. The data analysis technique used is a panel data regression technique or model. The processing of research data was carried out using stata 13 software. The study concluded that factors of geography, infrastructure, economic conditions of the population as well as macroeconomic variables influenced or at least related to poverty in the areas of Bogor Regency, Bogor City, Depok City, Bekasi Regency and Bekasi City (Bodebek). The influence of each variable is different in each district and city in the Bodebek region

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Section: Literature Reviewmentioning

confidence: 99%

Influence of Geographical Factors and Iinfrastructure on Poverty in the Bodebek Region in West Java Province

2022

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“…Matriks pembobot spasial berbentuk matriks non-negatif berukuran nxn yang menentukan set tetangga untuk bagi tiap unit spasial (lokasi). Bobot spasial mencirikan adanya ketergantungan antar lokasi (cross-section dependence) sehingga ukuran bobot spasial memiliki pengaruh penting pada estimasi model ketergantungan spasial (Jajang et al, 2013). Dalam penelitian ini digunakan matriks pembobot spasial berdasarkan kondisi geografis yaitu matriks kebalikan jarak (inverse distance) dan hubungan ekonomi, yaitu perdagangan bilateral.…”

Section: Regresi Panel Spasialunclassified

Defisit Neraca Perdagangan: J-Curve, Perang Dagang dan Model Salter Corden

Firdaus

Satriani²,

Amaliah

et al. 2019

JEI

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Exchange rate fluctuations and external shocks such as the trade war are predicted to put pressure on Indonesia’s trade balance. Based on VECM analysis, the exchange rate and Indonesia’s aggregate trade balance followed the J-Curve. Additionally, the trade war had impact on Rupiah depreciation and trade balance. The study also confirms eight export-oriented industries that are resilient to shocks and classified into four behaviors: (i) industries following the J-Curve; (ii) industries following the J-Curve in the long run; (iii) industriy which are not fully confirmed J-Curve, and (iv) Rest sector. The implication of this study emphasize the development of export-oriented and labor-intensive industries (Salter-Corden model). Keywords: J Curve; exchange rate; trade war; Salter Coden Model; VECM ------------------------------------------- Pergerakan nilai tukar Rupiah dan guncangan eksternal seperti perang dagang diprediksi akan memberikan tekanan terhadap neraca perdagangan. Berdasarkan analisis VECM, nilai tukar rupiah dan neraca perdagangan Indonesia secara agregat mengikuti fenomena J-Curve. Perang dagang terbukti memengaruhi depresiasi nilai tukar Rupiah dan neraca perdagangan Indonesia. Terdapat delapan industri berorientasi ekspor yang memiliki resiliensi terhadap guncangan dan diklasifikasikan menjadi empat, yakni: (i) Kelompok industri yang mengikuti fenomena J-Curve sepenuhnya; (ii) Kelompok industri dengan fenomena J-Curve pada jangka panjang; (iii) Kelompok industri yang tidak sepenuhnya mengikuti fenomena J-Curve, dan (iv) Industri lainnya. Implikasi studi ini menekankan pengembangan industri yang berorientasi ekspor dan intensif tenaga kerja (Salter-Corden model).

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“…While Jajang et al (2013) say that policy should be to reduce poverty is to increase economic growth, developing education, population control and the transformation of labor from agriculture to industry, trade and services. Based on some of the literature supporting the characteristics of rural poverty (TDMRC 2015;(Desmawati et al, 2015); (Giyarsih, 2014); (Widodo, 2011); (Wahyuddin, 2012); (Jadon et al, 2013) mentioned that there is a link human resources and characteristics of poverty.…”

Section: Introductionmentioning

confidence: 99%

Karakteristik Kemiskinan Masyarakat Perdesaan Pada Kawasan Pertambangan Emas Di Kabupaten Sumbawa Barat

Ibrahim¹,

Baiquni²,

Ritohardoyo³

et al. 2016

MIMBAR, Jurnal Sosial dan Pembangunan

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The research is conducted in rural areas of gold mining with the aim to find out the characteristics of poverty in the rural area of gold mining in West Sumbawa regency. The survey method is used in this study, focusing on the rural mining area. Sample of respondents are 167 households, selected by purposive sampling from four villages, which are determined based on the first ma slope. The data analysis uses cross tabulation and frequency tables. The results showes that the poverty rate in the research area is still low. The results of the combined value of the characteristic size of the hilly topography of poverty are 84 per cent and 83.7 per cent flat topography caused by low levels of income, quality of houses, agricultural land ownership, livestock ownership, ownership of valuables

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Analisis Kemiskinan Menggunakan Model Panel Spasial Statik

Cited by 7 publications

References 9 publications

Influence of Geographical Factors and Iinfrastructure on Poverty in the Bodebek Region in West Java Province

Influence of Geographical Factors and Iinfrastructure on Poverty in the Bodebek Region in West Java Province

Defisit Neraca Perdagangan: J-Curve, Perang Dagang dan Model Salter Corden

Karakteristik Kemiskinan Masyarakat Perdesaan Pada Kawasan Pertambangan Emas Di Kabupaten Sumbawa Barat

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